Case study
ATH: a BI platform for commodities trading
Executive, trading, operations and risk dashboards for a commodities trading group: KPIs, P&L and scenario analysis, plus an AI knowledge base used as a thinking partner for trading decisions. Live at ath.group.
- Client
- ATH Group
- Role
- Design, build, deploy. Solo.
- Status
- At ath.group
Screenshots from a reseeded demo database. Counterparties, vessels, ports and financials are synthetic. Click any screenshot to view it full size.
01 · Four audiences, four dashboards
An executive, a trader, an operations lead and a risk manager do not need the same screen. The platform gives each their own dashboard over the same underlying data: executive summary, trading performance, operations, and risk.
02 · The numbers that run a trading book
KPIs, P&L and scenario analysis sit on a Postgres data model built for the domain: trades, hedges, counterparties, shipments. The charts are not decoration. They are the working view of the book.
03 · A thinking partner, not an oracle
On top of the data sits an AI knowledge base used as a thinking partner for trading decisions. It helps interrogate the position, not replace the judgement of the person holding it.
Stack